A Novel Ground Moving Target Detector in Dual-channel SAR Images Based on the Covariance Matrix

摘要：

Concerning the detection of ground moving targets in dual-channel SAR images, a novel detector based on sample covariance matrix is proposed. The method makes use of the principle of orthogonal projection, for obtaining the component of the sample covariance matrix energy vector that is perpendicular to the clutter covariance matrix energy vector, then construct effective metric by this orthogonal component. Compared with traditional DPCA, this new metric can achieve better clutter rejection, eliminate influences from moving targets’ sidelobes, set threshold more easily and get lower false alarm probability. The simulated results prove the effectiveness of this metric.

作者: Shi Gong-tao Gao Gui Kuang gang-yao

作者单位: School of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hunan 410073,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）